Location Data engineer at amo
France
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Explore large, complex location datasets to discover signals, patterns, and user behaviors.
- Design, build, and maintain reliable data pipelines to transform raw data into production-ready features and datasets.
- Prototype features on historical data, evaluate quality, and productionize successful experiments.
- Create tooling, dashboards, and visualizations to monitor data quality and surface issues quickly.
- Build evaluation frameworks and metrics to validate signal quality and feature impact.
- Collaborate closely with product, engineering, and ML teams to turn insights into product improvements.
Requirements:
- Strong SQL skills and experience with modern data tooling (Spark, BigQuery, DBT, Dagster, ClickHouse, DuckDB, or similar).
- Solid software engineering fundamentals: testing, reproducibility, and performance-aware pipeline design.
- Experience in data modeling, feature engineering, and moving exploratory work into production pipelines.
- Familiarity with statistical methods, experimentation, or basic ML to evaluate signals and features.
- Ability to build dashboards and developer tooling to inspect examples, debug pipelines, and monitor quality.
- Clear communicator who can work cross-functionally and prioritize impact in a product-oriented data role.